| | |
| | |
| | import csv |
| | import shutil |
| | import os |
| |
|
| | |
| | def read_uid_csv(filename): |
| | with open(filename, 'r') as f: |
| | reader = csv.reader(f) |
| | uid_list = list(reader) |
| | return uid_list |
| |
|
| | def split_clips(clips_path, clips_split_path): |
| | subset = ['train', 'val', 'test'] |
| | for split in subset: |
| | if split not in clip_csv_dict.keys(): |
| | print("{} split is not in clip_csv_dict".format(split)) |
| | continue |
| | clip_uids_list = read_uid_csv(clip_csv_dict[split])[0] |
| | os.makedirs(os.path.join(clips_split_path, split),exist_ok=True) |
| | |
| | for clip_uid in clip_uids_list: |
| | clip_filename = clip_uid + '.mp4' |
| | src = os.path.join(clips_path, clip_filename) |
| | dst = os.path.join(clips_split_path, split, clip_filename) |
| | shutil.copy(src, dst) |
| | print('copied {} to {}'.format(src, dst)) |
| |
|
| |
|
| | clip_csv_dict = { |
| | 'train': 'train_clip_uids.csv', |
| | 'val': 'val_clip_uids.csv', |
| | 'test': 'test_clip_uids.csv' |
| | } |
| |
|
| | ego4d_path = '/home/junhyeok/datasets/ego4d_dataset/v2/' |
| | clips_path = os.path.join(ego4d_path, 'clips') |
| | clips_split_path = os.path.join(ego4d_path, 'splits') |
| | os.makedirs(clips_split_path, exist_ok=True) |
| |
|
| |
|
| | def convert_csv_to_lines_and_save(csv_file_path, output_file_path): |
| | with open(csv_file_path, 'r') as file: |
| | csv_content = file.read().strip() |
| |
|
| | lines = csv_content.split(',') |
| |
|
| | |
| | converted_text = '\n'.join(lines) |
| |
|
| | with open(output_file_path, 'w') as file: |
| | file.write(converted_text) |
| |
|
| | print("Conversion completed. The result is saved to '{}'.".format(output_file_path)) |
| |
|
| |
|
| | convert_csv_to_lines_and_save('train_clip_uids.csv', 'train_clip_uids.txt') |
| | convert_csv_to_lines_and_save('val_clip_uids.csv', 'val_clip_uids.txt') |
| | convert_csv_to_lines_and_save('test_clip_uids.csv', 'test_clip_uids.txt') |
| |
|
| |
|